Data Visualization A Practical Introduction Assignment | Homework Help Websites
February 3rd, 2019
Start by playing around with the
gapminder data a little more. You can try each of these explorations with
geom_point() and then with
geom_smooth(), or both together.
- What happens when you put the
geom_point()instead of after it? What does this tell you about how the plot is drawn? Think about how this might be useful when drawing plots.
- Change the mappings in the
aes()function so that you plot Life Expectancy against population (
pop) rather than per capita GDP. What does that look like? What does it tell you about the unit of observation in the dataset?
- Try some alternative scale mappings. Besides
scale_x_log10()you can try
scale_x_reverse(). There are corresponding functions for y-axis transformations. Just write
x. Experiment with them to see what sort of effect they have on the plot, and whether they make any sense to use.
- What happens if you map
continent? Is the result what you expected? Think about what class of object
yearis. Remember you can get a quick look at the top of the data, which includes some shorthand information on the class of each variable, by typing
- Instead of mapping
color = year, what happens if you try
color = factor(year)?